fixed darknet, stuff

cfg/darknet.cfg

@@ -7,10 +7,11 @@ channels=3
 momentum=0.9
 decay=0.0005
 
-learning_rate=0.1
-policy=poly
-power=4
-max_batches=500000
+learning_rate=0.01
+policy=sigmoid
+gamma=.00002
+step=400000
+max_batches=800000
 
 [crop]
 crop_height=224

src/convolutional_kernels.cu

@@ -122,6 +122,12 @@ void forward_convolutional_layer_gpu(convolutional_layer l, network_state state)
             fast_mean_gpu(l.output_gpu, l.batch, l.n, l.out_h*l.out_w, l.mean_gpu);
             fast_variance_gpu(l.output_gpu, l.mean_gpu, l.batch, l.n, l.out_h*l.out_w, l.variance_gpu);
 
+            /*
+            cuda_pull_array(l.variance_gpu, l.mean, 1);
+            printf("%f\n", l.mean[0]);
+            */
+
+
             scal_ongpu(l.n, .95, l.rolling_mean_gpu, 1);
             axpy_ongpu(l.n, .05, l.mean_gpu, 1, l.rolling_mean_gpu, 1);
             scal_ongpu(l.n, .95, l.rolling_variance_gpu, 1);